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Time interval distributions of nuclear events in a digital spectrometer

Overview of attention for article published in Nuclear Instruments & Methods in Physics Research Section A, June 2024
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Title
Time interval distributions of nuclear events in a digital spectrometer
Published in
Nuclear Instruments & Methods in Physics Research Section A, June 2024
DOI 10.1016/j.nima.2024.169218
Authors

Soren Cheng, Bruce Pierson, Stefaan Pommé, Marek Flaska

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 March 2024.
All research outputs
#23,109,385
of 25,756,911 outputs
Outputs from Nuclear Instruments & Methods in Physics Research Section A
#5,531
of 8,909 outputs
Outputs of similar age
#12,208
of 15,437 outputs
Outputs of similar age from Nuclear Instruments & Methods in Physics Research Section A
#8
of 31 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,909 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 15,437 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.